**Experienced Full Stack Data Engineer – Cloud and Big Data Application Development at arenaflex**
At arenaflex, we're on a mission to revolutionize the way we approach data engineering and big data application development. As a seasoned data engineer, you'll play a pivotal role in shaping the future of our organization by designing and implementing cutting-edge data solutions that drive business growth and innovation. **About arenaflex** arenaflex is a leading healthcare company that's dedicated to improving the lives of millions of people around the world. With a rich history of innovation and a commitment to excellence, we're constantly pushing the boundaries of what's possible in the healthcare industry. Our team of passionate and talented professionals is driven by a shared vision of creating a healthier, more connected world. **Job Summary** We're seeking an experienced full stack data engineer to join our team at arenaflex. As a key member of our data engineering team, you'll be responsible for designing, developing, and implementing large-scale data pipelines and architectures that support our business growth and innovation initiatives. You'll work closely with cross-functional teams to identify business needs and develop data-driven solutions that drive business outcomes. **Key Responsibilities** * Design and develop large-scale data pipelines and architectures that support our business growth and innovation initiatives * Collaborate with cross-functional teams to identify business needs and develop data-driven solutions that drive business outcomes * Develop and maintain ETL (Extract, Transform, Load) processes, data set frameworks, and tools for continuous and batch processing * Work with the data science team to integrate data and models into automated processes * Develop and maintain data stores and data models to support information science and other internal clients * Ensure data quality and accessibility standards are met by incorporating data from various sources * Investigate current data technology conditions to identify and evaluate key capabilities and suggest solutions * Explore new tools and technologies to determine the best approach given the requirements directed by the model/use case **Essential Qualifications** * Bachelor's degree in Computer Science, Information Technology, or a related field * 5+ years of experience in data engineering with a strong understanding of data architecture and design * 5+ years of experience with SQL and Python programming languages * Experience with cloud-based platforms (GCP, AWS, or Azure) * Strong communication, decision-making, and critical thinking skills **Preferred Qualifications** * Experience with Hadoop, Hive, or PySpark * Experience with data visualization tools (e.g., Tableau, Power BI) * Experience with healthcare industry data an asset **Skills and Competencies** * Strong understanding of data architecture and design principles * Experience with cloud-based platforms (GCP, AWS, or Azure) * Proficiency in Python programming language * Experience with SQL and data modeling * Strong communication, decision-making, and critical thinking skills * Ability to work in a fast-paced environment and prioritize multiple tasks and projects **Career Growth Opportunities and Learning Benefits** At arenaflex, we're committed to helping our employees grow and develop their careers. We offer a range of training and development programs, including: * On-the-job training and mentorship * Professional certification programs * Online courses and tutorials * Conference and workshop attendance * Opportunities for career advancement and promotion **Work Environment and Company Culture** arenaflex is a dynamic and innovative company that values diversity, equity, and inclusion. We offer a collaborative and supportive work environment that encourages creativity, innovation, and teamwork. Our company culture is built on a foundation of trust, respect, and open communication. **Compensation, Perks, and Benefits** We offer a competitive salary and benefits package, including: * Salary: $50/hour * Comprehensive health insurance * 401(k) retirement plan * Paid time off and holidays * Flexible work arrangements and remote work options * Professional development opportunities and training programs **How to Apply** If you're a motivated and experienced data engineer looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information]. We can't wait to hear from you! Apply for this job